@inproceedings{ehrhart-etal-2023-d2klab,
title = "{D}2{KL}ab at {S}em{E}val-2023 Task 2: Leveraging {T}-{NER} to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition",
author = "Ehrhart, Thibault and
Plu, Julien and
Troncy, Raphael",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.115",
doi = "10.18653/v1/2023.semeval-1.115",
pages = "836--840",
abstract = "This paper presents D2KLab{'}s system used for the shared task of {``}Multilingual Complex Named Entity Recognition (MultiCoNER II){''}, as part of SemEval 2023 Task 2. The system relies on a fine-tuned transformer based language model for extracting named entities. In addition to the architecture of the system, we discuss our results and observations.",
}
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<abstract>This paper presents D2KLab’s system used for the shared task of “Multilingual Complex Named Entity Recognition (MultiCoNER II)”, as part of SemEval 2023 Task 2. The system relies on a fine-tuned transformer based language model for extracting named entities. In addition to the architecture of the system, we discuss our results and observations.</abstract>
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%0 Conference Proceedings
%T D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition
%A Ehrhart, Thibault
%A Plu, Julien
%A Troncy, Raphael
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F ehrhart-etal-2023-d2klab
%X This paper presents D2KLab’s system used for the shared task of “Multilingual Complex Named Entity Recognition (MultiCoNER II)”, as part of SemEval 2023 Task 2. The system relies on a fine-tuned transformer based language model for extracting named entities. In addition to the architecture of the system, we discuss our results and observations.
%R 10.18653/v1/2023.semeval-1.115
%U https://aclanthology.org/2023.semeval-1.115
%U https://doi.org/10.18653/v1/2023.semeval-1.115
%P 836-840
Markdown (Informal)
[D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition](https://aclanthology.org/2023.semeval-1.115) (Ehrhart et al., SemEval 2023)
ACL